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[石勒苏益格-荷尔斯泰因州法定传染病自动监测综合公告(IBISSH)。一种时空早期预警系统]

[Integrated bulletin for the automated surveillance of notifiable communicable diseases in Schleswig-Holstein (IBISSH). A spatiotemporal early warning system].

作者信息

Läubrich C, Bocter N, Fickenscher H, Selck G, Rautenberg P

机构信息

Institut für Infektionsmedizin und Kompetenzzentrum für das Meldewesen übertragbarer Krankheiten in Schleswig-Holstein, Christian-Albrechts-Universität und Universitätsklinikum Schleswig-Holstein, Brunswiker Str. 4, 24105, Kiel, Deutschland.

出版信息

Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2011 Jul;54(7):875-84. doi: 10.1007/s00103-011-1299-9.

Abstract

The program package "Integrated Bulletin for Infectious disease Surveillance for Schleswig-Holstein" (IBIS(SH)) was introduced in 2008 for the automated data analysis of notifiable infectious diseases in Schleswig-Holstein, Germany. The Java-based IBIS(SH) software supports access to the national SurvNet@RKI reporting data via Access and MS SQL. The aim of the IBIS(SH) system is early warning and interpretation of clusters and monitoring of trends. One module of the system permits the analysis of temporal aberration by comparison of data from previous years. The interpretation system is based on the weekly median and on percentile values from previous years. The extent of an aberration is assessed by a five-step score magnitude scale. Another module permits the detection of regional clusters by the weekly assessment of a population-based risk analysis. IBIS(SH) automatically generates tables and graphs for the weekly bulletin and their allocation in the Internet. Data for the most relevant pathogens in Schleswig-Holstein are presented for the year 2009. The performance of the automated temporal and the regional detection systems are compared to outbreak detection by local health authorities.

摘要

“石勒苏益格-荷尔斯泰因州传染病监测综合通报”(IBIS(SH))程序包于2008年推出,用于对德国石勒苏益格-荷尔斯泰因州应报告传染病进行自动化数据分析。基于Java的IBIS(SH)软件支持通过Access和MS SQL访问国家SurvNet@RKI报告数据。IBIS(SH)系统的目的是对聚集性病例进行早期预警和解读以及监测趋势。该系统的一个模块允许通过比较前几年的数据来分析时间偏差。解读系统基于前几年的每周中位数和百分位数。偏差程度通过一个五步评分量表进行评估。另一个模块允许通过基于人群的风险分析的每周评估来检测区域聚集性病例。IBIS(SH)会自动生成每周通报的表格和图表,并将其发布到互联网上。文中呈现了2009年石勒苏益格-荷尔斯泰因州最相关病原体的数据。将自动化时间和区域检测系统的性能与当地卫生当局的疫情检测进行了比较。

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